[Data Talk] Deep Learning with AutoML

Deep Learning is one of the hottest fields in the data science world. While news reports tend to focus on futuristic applications in speech and image recognition, data scientists are using Deep Learning to solve highly practical problems with bottom-line impact. Deep learning applications identify suspicious transactions in real time, automate quality testing in manufacturing, predict bottlenecks in production, detect malware, and much more. Deep Learning has a few advantages over other methods: it can build more accurate models and reduce the time needed to build a useful model. However, creating a deep learning production algorithm is a complex task. Programming these models from scratch is a significant effort, and it requires a great deal of computing power. Together, and NVIDIA deliver GPU-accelerated machine learning platform that makes deep learning accessible, and empowers organizations to create and deploy deep learning models to production in a matter of days, instead of weeks o